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  1. Physical visualisation of neural network learning using RGB leds, arduino and raspberry pi.

    Jupyter Notebook 60 10

  2. Used deep reinforcement learning to train a deep neural network to play tic-tac-toe and deployed using tensorflow.js.

    Jupyter Notebook 47 7

  3. Using synthetically generated video data to learn how/when R-CNNs can outperform CNNs.

    Jupyter Notebook 11 4

  4. Using Keras, TensorFlow.js and image processing to analyse my basketball skillz.

    Jupyter Notebook 14 4

  5. Project for a automatic videographer system for recording sports matches.

    Jupyter Notebook 7 2

  6. An application of realtime object-detection running on an Edge TPU for making cycling in busy cities a little less terrifying.

    Python 6 1

406 contributions in the last year

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Contribution activity

August 2020

ZackAkil has no activity yet for this period.

July 2020

Created a pull request in gsuitedevs/ml-integration-samples that received 2 comments


+41 −0 2 comments
12 contributions in private repositories Jul 1 – Jul 27

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